Big Data Analytics in Healthcare Market by Component (Software, Hardware, Services ), Deployment (On-premise, Cloud), Application (Clinical, Financial, Operational, Population Health), and End User

Description

List of Tables

Big Data Analytics in Healthcare Market Size, Share, Forecast, & Trends Analysis by Component (Software, Hardware, Services [Descriptive, Prescriptive, Diagnostic]) Application (Clinical, Financial, Operational) Deployment, End User-Global Forecast to 2030

The big data analytics in healthcare market is projected to reach $95.2 billion by 2030, at a CAGR of 13.8% from 2023 to 2030.

Succeeding extensive secondary and primary research and in-depth analysis of the big data analytics in healthcare market scenario, the report comprises the analysis of key industry drivers, restraints, challenges, and opportunities. The rising adoption of EMR & EHR, increasing investments in the healthcare IT sector, and a shift from volume to value-based care are driving the growth of the big data analytics in healthcare market. However, IT infrastructural constraints in developing countries are expected to restrain the growth of this market. Growing preference for cloud-based analytics solutions is expected to offer significant growth opportunities for the big data analytics in healthcare market. Growing security concerns and a lack of skilled data professionals are challenging the market growth.

The report offers a competitive landscape based on an extensive assessment of the product portfolio offerings, geographic presences, and key strategic developments adopted by leading market players in the industry over four years (2020-2024). The key players operating in the global big data analytics in healthcare market report are GE HealthCare Technologies Inc. (U.S.), Optum, Inc. (U.S.), CSL Limited (Australia), Veradigm LLC (U.S.), Inovalon (U.S.), The International Business Machines Corporation (U.S.), McKesson Corporation (U.S.), KT Corporation (South Korea), Epic Systems Corporation (U.S.), and Cerner Corporation (U.S.).

Based on component, the big data analytics in healthcare market is segmented into hardware, software, and services. In 2023, the services segment is expected to account for the largest share of the big data analytics in healthcare market. The services segment is further divided into descriptive, prescriptive, predictive, and diagnostic. In 2023, the prescriptive services segment is expected to account for the largest share of the big data analytics in the healthcare services market. Healthcare organizations are increasingly using big data analytics services for the data analysis of drug utilization, purchasing patterns, and checking inventory levels. The largest share of this market is attributed majorly to the shifting trend from volume-based care to value-based care; predictive analytics services provide data security, reduced operational costs, and improved care.

Based on deployment mode, the global big data analytics in healthcare market is segmented into on-premise and cloud-based/web-based. The cloud-based segment is expected to grow at the highest CAGR during the forecast period. Using cloud-based systems does not involve hardware installation and maintenance costs and does not require maintaining in-house IT maintenance and support teams.

Among all the applications studied in this report, in 2023, the financial analysis segment is expected to have the largest share in the big data analytics in healthcare market. The largest share of the segment is attributed to the increasing focus of the healthcare industry on revenue cycle management, cost management, and claims management.

Among all the end users studied in this report, the hospitals & clinics segment is expected to grow at the highest CAGR during the forecast period. The highest CAGR of the segment is attributed to the increasing emphasis of hospitals & clinics to deliver cost-effective care to patients, the necessity to manage patient records, improved disease surveillance, and better patient management.

An in-depth analysis of the geographical scenario of the global big data analytics in healthcare market provides detailed qualitative and quantitative insights into the five major geographies (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) along with the coverage of major countries in each region.

Among all geographies studied in this report, Asia-Pacific is expected to grow at the highest CAGR over the forecast period. The highest CAGR of the region is attributed to the efforts to digitalize the healthcare infrastructure in India, China, and other emerging economies, investments & reforms to modernize China's healthcare infrastructure, and the need to manage the burden of chronic diseases.

Scope of the Report:

Big Data Analytics in Healthcare Market, by Component

Hardware
Software
Services
- Descriptive
- Prescriptive
- Predictive
- Diagnostic

Big Data Analytics in Healthcare Market, by Deployment Mode

On-premise
Cloud-based/Web-based

Big Data Analytics in Healthcare Market, by Application

Clinical Analysis
Financial Analysis
Operational Analysis
Population Health Analysis
Other Applications

Other applications include product analytics, risk analytics, and real-time analytics.

Big Data Analytics in Healthcare Market, by End User

Hospitals & Clinics
Research Organizations
Finance & Insurance Agencies

Big Data Analytics in Healthcare Market, by Geography

North America
- U.S.
- Canada
Europe
- Germany
- France
- Italy
- U.K.
- Spain
- Rest of Europe (RoE)
Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
Latin America
- Brazil
- Mexico
- Rest of Latin America
Middle East & Africa

Product Code: MRHC - 104986

1. Introduction

1.1. Market Definition & Scope
1.2. Market Ecosystem
1.3. Currency
1.4. Key Stakeholders

2. Research Methodology

2.1. Research Approach
2.2. Process of Data Collection & Validation
- 2.2.1. Secondary Research
- 2.2.2. Primary Research/Interviews with Key Opinion Leaders of the Industry
2.3. Market Sizing and Forecast
- 2.3.1. Market Size Estimation Approach
- 2.3.2. Growth Forecast Approach
2.4. Assumptions for the Study

3. Executive Summary

4. Market Insights

4.1. Overview
4.2. Market Dynamics
- 4.2.1. Drivers
  - 4.2.1.1. Rising Adoption of EMR & EHR
  - 4.2.1.2. Increasing Investments in Healthcare IT Sector
  - 4.2.1.3. Shift from Volume to Value-based Care
- 4.2.2. Restraint
  - 4.2.2.1. IT Infrastructural Constraints in Developing Countries
- 4.2.3. Opportunities
  - 4.2.3.1. Growing Preference for Cloud-Based Analytics Solutions
- 4.2.4. Challenge
  - 4.2.4.1. Data Security and Privacy Issues
- 4.2.5. Factor Analysis
4.3. Market Trends
4.4. Regulatory Analysis
4.5. Case Studies

5. Big Data Analytics in Healthcare Market Assessment, by Component

5.1. Overview
5.2. Software
5.3. Hardware
5.4. Services
- 5.4.1. Descriptive
- 5.4.2. Prescriptive
- 5.4.3. Predictive
- 5.4.4. Diagnostic

6. Big Data Analytics in Healthcare Market Assessment, by Deployment Mode

6.1. Overview
6.2. On-premise
6.3. Cloud/Web-based

7. Big Data Analytics in Healthcare Market Assessment, by Application

7.1. Overview
7.2. Clinical Analysis
7.3. Financial Analysis
7.4. Operational Analysis
7.5. Population Health Analysis
7.6. Others

8. Big Data Analytics in Healthcare Market Assessment, by End User

8.1. Overview
8.2. Hospitals & Clinics
8.3. Research Organizations
8.4. Finance & Insurance Agencies

9. Big Data Analytics in Healthcare Market Assessment, by Geography

9.1. Introduction
9.2. North America
- 9.2.1. U.S.
- 9.2.2. Canada
9.3. Europe
- 9.3.1. Germany
- 9.3.2. France
- 9.3.3. U.K.
- 9.3.4. Italy
- 9.3.5. Spain
- 9.3.6. Rest of Europe
9.4. Asia-Pacific
- 9.4.1. China
- 9.4.2. India
- 9.4.3. Japan
- 9.4.4. Rest of Asia-Pacific
9.5. Latin America
- 9.5.1. Brazil
- 9.5.2. Mexico
- 9.5.3. Rest of Latin America
9.6. Middle East & Africa

10. Competition Analysis

10.1. Introduction
10.2. Key Growth Strategies
10.3. Competitive Benchmarking
10.4. Competitive Dashboard
- 10.4.1. Industry Leaders
- 10.4.2. Differentiators
- 10.4.3. Vanguards
- 10.4.5. Emerging Companies
10.5. Market Share Analysis/Market Ranking (2022)

11. Company Profiles (Company Overview, Financial Overview, Product Portfolio, and Strategic Developments)

11.1. GE HealthCare Technologies Inc.
11.2. Optum, Inc.
11.3. CSL Limited
11.4. Veradigm LLC
11.5. Inovalon
11.6. IBM
11.7. McKesson Corporation
11.8. KT Corporation
11.9. Epic Systems Corporation
11.10. Cerner Corporation

(Note: SWOT Analysis of the Top 5 Companies Will Be Provided)

12. Appendix

12.1. Available Customization
12.2. Related Reports